Adaptive filtering of airborne gravimetry data using hidden Markov models

DOI10.3103/S0027133011030034zbMath1433.86002OpenAlexW2131472726MaRDI QIDQ2402646

D. R. Doroshin, Yu. V. Bolotin

Publication date: 13 September 2017

Published in: Moscow University Mechanics Bulletin (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3103/s0027133011030034

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Markov processes: estimation; hidden Markov models (62M05) Geostatistics (86A32) Computational methods for problems pertaining to geophysics (86-08) Geodesy, mapping problems (86A30)

Related Items (1)

Methods of inertial gravimetry

Cites Work

• Airborne gravimetry problem. Algorithms. Results of testing.
• Accuracy analysis of airborne gravity when gravimeter parameters are identified in flight
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